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|a 9781629609492
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|a UAMI
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|a JMP version 13 consumer research.
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|a Consumer research
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|a JMP 13 consumer research
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|a Second edition.
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|a Cary, NC :
|b JMP, a business unit of SAS,
|c [2017]
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|c ©2017
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|a 1 online resource (1 volume) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a Online resource; title from title page (viewed March 16, 2017).
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|a Includes bibliographical references and index.
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|a JMP 13 Consumer Research focuses on analyses that help users observe and predict subject's behavior, particularly those in the market research field. The Uplift platform predicts consumer behavior based on shifts in marketing efforts. Learn how to tabulate and summarize categorical responses with the Categorical platform. Factor Analysis rotates principal components to help identify which directions have the most variation among the variables. The book also covers Item Analysis, a method for identifying latent traits that might affect an individual's choices. And read about the Choice platform, which market researchers use to estimate probability in consumer spending.
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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630 |
0 |
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|a JMP (Computer file)
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7 |
|a JMP (Computer file)
|2 fast
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650 |
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|a Consumers
|x Research.
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650 |
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|a Mathematical analysis.
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650 |
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|a Statistics
|x Graphic methods.
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|a Mathematical statistics
|x Data processing.
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|a Information visualization.
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650 |
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|a Consommateurs
|x Recherche.
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650 |
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|a Analyse mathématique.
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650 |
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|a Statistique
|x Méthodes graphiques.
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650 |
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6 |
|a Statistique mathématique
|x Informatique.
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650 |
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|a Visualisation de l'information.
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650 |
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7 |
|a Consumers
|x Research
|2 fast
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650 |
|
7 |
|a Information visualization
|2 fast
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650 |
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7 |
|a Mathematical analysis
|2 fast
|
650 |
|
7 |
|a Mathematical statistics
|x Data processing
|2 fast
|
650 |
|
7 |
|a Statistics
|x Graphic methods
|2 fast
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710 |
2 |
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|a SAS Institute,
|e publisher.
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776 |
0 |
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|i Print version:
|t JMP version 13 consumer research.
|b Second edition.
|d Cary, North Carolina : SAS Institute, 2017
|z 9781629609485
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856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781629609492/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
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